Fraud Data Analytics Methodology. The Fraud Scenario Approach To Uncovering Fraud In Core Business Systems

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Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan

A good auditor must make use of every tool available, and recent advances in analytics have made it accessible to everyone, at any level of IT proficiency

By combining fraud risk assessment and fraud data analytics, you'll be able to better identify and respond to the risk of fraud in your audits

Fraud Data Analytics Methodology gets you up to speed, with a brand new tool box for fraud detection.

Fraud cannot be detected through audit unless the sample contains a fraudulent transaction

Locate hidden signs of fraud Build a holistic fraud data analytic plan Identify red flags that lead to fraudulent transactions Build efficient data interrogation into your audit plan Incorporating data analytics into your audit program is not about reinventing the wheel

Professional standards now require all audits to include data analytics, and this informative guide shows you how to leverage this critical tool for recognizing fraud in today's core business systems

Proven techniques help you identify signs of fraud hidden deep within company databases, and strategic guidance demonstrates how to build data interrogation search routines into your fraud risk assessment to locate red flags and fraudulent transactions

These methodologies require no advanced software skills, and are easily implemented and integrated into any existing audit program

This book explores methodologies that allow you to locate transactions that should undergo audit testing

When the old methods are no longer sufficient, new tools are often the boost that brings exceptional results

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